Real Time Smart System for ECG Monitoring Embedded System

An IoT-based real-time smart embedded system for ongoing ECG monitoring is presented in this research. Real-time body temperature and cardiac electrical activity monitoring are features of the system. It is made up of an Arduino Uno microcontroller to analyse the data gathered, a body temperature sensor to track body temperature, and an ECG sensor to record heartbeats. The severity level of the patient's condition is shown via a visual risk indication system that uses red, yellow, and green LEDs; red indicates a serious condition, yellow indicates a low risk, and green indicates no danger. For real-time monitoring, the processed data is sent to a smartphone or display. This technology ensures prompt intervention, improves patient safety, and boosts healthcare efficiency by providing timely alerts for irregularities.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-16
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.42129
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
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article

Real Time Smart System for ECG Monitoring Embedded System

Sonchikala Mounika, M. Divya, D. Abhinay, S. Muneera et al.
International Journal For Multidisciplinary Research
ECG Monitoring and Analysis
article

Real Time Smart System for ECG Monitoring Embedded System

Sonchikala Mounika, M. Divya, D. Abhinay, S. Muneera, K. Vishwa Chaithanya
article en

Abstract

An IoT-based real-time smart embedded system for ongoing ECG monitoring is presented in this research. Real-time body temperature and cardiac electrical activity monitoring are features of the system. It is made up of an Arduino Uno microcontroller to analyse the data gathered, a body temperature sensor to track body temperature, and an ECG sensor to record heartbeats. The severity level of the patient's condition is shown via a visual risk indication system that uses red, yellow, and green LEDs; red indicates a serious condition, yellow indicates a low risk, and green indicates no danger. For real-time monitoring, the processed data is sent to a smartphone or display. This technology ensures prompt intervention, improves patient safety, and boosts healthcare efficiency by providing timely alerts for irregularities.

International Journal For Multidisciplinary ResearchVol. 7(2)
Autonomous University of Tamaulipas (MX)
Openalex Percentile: Top 86%
ECG Monitoring and Analysis
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